How To Use Python To Test SEO Theories (And Why You Should)
Learn how to test your SEO theories using Python. Discover the steps required to pre-test search engine rank factors and validate implementation sitewide. When working on sites with traffic, there is as much to lose as there is to gain from implementing SEO recommendations The downside risk of an SEO implementation gone wrong can be mitigated using machine learning models to pre-test search engine rank factors. Pre-testing aside, split testing is the most reliable way to validate SEO theories before making the call to roll out the implementation sitewide or not. We will go through the steps required on how you would use Python to test your SEO theories. Choose Rank Positions One of the challenges of testing SEO theories is the large sample sizes required to make the test conclusions statistically valid. Split tests – popularized by Will Critchlow of SearchPilot – favor traffic-based metrics such as clicks, which is fine if your company is enterprise-level or has copious traffic. If you...
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